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Home/ Questions/Stabilizing the error: could not find function "%>%" with the best answers
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Louis Pereira
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Louis Pereira
Asked: May 11, 20222022-05-11T18:20:17+00:00 2022-05-11T18:20:17+00:00In: r

Stabilizing the error: could not find function “%>%” with the best answers

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I have the following r code, but I do not know how to find the correct result. Why has this problem occurred, and how can it be solved? This is the code I am running:

words <- dtm %>%
  as.matrix %>%
  colnames %>%
  (function(x) x[nchar(x) < 20])

This is the error text I receive:

Error: could not find function "%>%"
dplyr
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    David
    2022-05-23T10:45:59+00:00Added an answer on May 23, 2022 at 10:45 am

    Two solutions here: either you install and include the library “magrittr” or the library “dplyr”

    To install:

    install.packages("magrittr")
    
    or
    
    install.packages("dplyr")

    Then, don’t forget to declare it in your script

    library(magrittr)
    
    /* your script */
    
    or 
    
    library(dplyr)
    
    /* your script */
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  2. Mila Leleu
    2022-05-25T19:18:53+00:00Added an answer on May 25, 2022 at 7:18 pm

    Windows: If you use %>% within a %dopar% Loop, you must add a reference for loading package dplyr (or magrittr), which dplyr loads.

    Example:

    plots <- foreach(myInput=iterators::iter(plotCount), .packages=c("RODBC", "dplyr")) %dopar%
    {
     return(getPlot(myInput))
    }

    It will work fine if you don’t use the .packages command and instead use %do% to make it run in one process. It all runs in one process so it doesn’t need to load any new packages.

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  3. elveralowe
    2022-07-12T06:14:25+00:00Added an answer on July 12, 2022 at 6:14 am

    You need to load the package magrittr or dplyr that defines the function. Then it should work.

    install.packages("magrittr") # package installations are only needed the first time you use it
    install.packages("dplyr")    # alternative installation of the %>%
    library(magrittr) # needs to be run every time you start R and want to use %>%
    library(dplyr)    # alternatively, this also loads %>%

    %>%, a pipe operator, was created to “decrease development times and improve the readability and maintenance of code. ”

    This code does not use the pipe %>%. It would return the exact same code as yours:

    words <- colnames(as.matrix(dtm))
    words <- words[nchar(words) < 20]
    words
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